Python Developer (W2 Only)

Job Title – Senior Application Developer (Python) Location – St. Petersburg, FL 33716 (Hybrid) Duration – 8-12 Months (Temp to Perm) This position is open only to U.S. Citizens and Green Card holders who can work on W2. No C2C. Local candidates preferred for a hybrid work arrangement. Duties Job Summary: • You are not looking for an ordinary job — and we're not looking for an ordinary developer. • You thrive where others hesitate — in the deep end, under pressure, when the clock is ticking and the stakes are high. You don't wait for direction; you create momentum. You don't aim for “good enough”; you aim for excellence — accuracy, speed, and mastery in every line of code. • You're self-motivated, obsessively curious, and relentlessly driven to build systems that work beautifully at scale. You take full ownership, from concept to deployment, and you push yourself — and your team — to deliver beyond expectations. • If you're just looking to clock in and out, this isn't for you. If you live for the challenge, welcome home. Why Join Us This is not a maintenance role — this is a mission. • You'll be part of a small, elite team building cutting-edge AI infrastructure: high-speed retrieval systems, GPU-accelerated pipelines, and scalable microservices that power real-world intelligence. Every day brings a new challenge, a new idea, a new opportunity to push what's possible. • You'll have end-to-end ownership, creative freedom, and the chance to make a measurable impact — not just on code, but on how we build and deliver intelligence at scale. • We value commitment, precision, and integrity. We move fast, think big, and reward those who bring energy, focus, and results. • This is your chance to be part of something defining — to help build the systems that others will study and emulate. • If that excites you, you're the kind of engineer we want. Skills Technical Responsibilities: • Architect, design, and optimize Python-based RAG (Retrieval-Augmented Generation) systems for real-world deployment. • Build and maintain vector databases and embedding pipelines using Redis, Faiss, or similar high-performance stores. • Develop and manage GPU-accelerated pipelines for embedding generation and model vectorization. • Design and operate Kubernetes (K8s) environments for scaling distributed microservices and model workloads. • Integrate retrieval and generation components into larger AI/LLM ecosystems with high throughput and reliability. • Own performance tuning, profiling, and system observability for millisecond-level responsiveness. • Contribute to automation, CI/CD pipelines, and infrastructure-as-code practices. • Collaborate closely with AI engineers, data scientists, and DevOps to deliver production-grade, fault-tolerant systems. Core Technical Qualifications • 5+ years of experience in Python software engineering for production systems. • Deep expertise with Redis, Kubernetes, and GPU-based computation (CUDA, PyTorch, or TensorFlow). • Proven experience designing and deploying vector databases, embeddings, and RAG architectures. • Strong knowledge of FastAPI, asyncio, and microservice architectures. • Skilled with Docker, Helm, and cloud-native stacks (AWS/GCP/Azure). • Excellent debugging, performance tuning, and system-level problem-solving skills. • Demonstrated ability to deliver high-quality code under pressure and within tight deadlines. Preferred Experience • Familiarity with LangChain, LlamaIndex, or other RAG frameworks. • Experience with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry). • Contributions to open-source AI or DevOps projects. • Understanding of streaming systems (Kafka, Spark, or Flink). Education: • Bachelor's degree (B.A.) in Computer Science, MIS or related degree NOTES from hiring manager: • Role needs to be local to Tampa area and work onsite hybrid model 2-3 days per week, no fully remote options. • Manager is looking to convert to an FTE after contract period assuming performance and business value.